{
  "@graph" : [ {
    "@id" : "http://semantics.gr/authorities/EKT-voc-classifier/605963148",
    "@type" : "skos:Concept",
    "broader" : "http://semantics.gr/authorities/EKT-voc-classifier/1532468312",
    "closeMatch" : "http://id.loc.gov/authorities/subjects/sh94004659",
    "exactMatch" : [ "http://id.loc.gov/authorities/subjects/sh85008180", "http://vocabularies.unesco.org/thesaurus/concept3052", "http://semantics.gr/authorities/EKT-voc/605963148" ],
    "note" : {
      "@language" : "en",
      "@value" : "isi - Computer Science, Artificial Intelligence covers resources that focus on research and techniques to create machines that attempt to efficiently reason, problem-solve, use knowledge representation, and perform analysis of contradictory or ambiguous information. This category includes resources on artificial intelligence technologies such as expert systems, fuzzy systems, natural language processing, speech recognition, pattern recognition, computer vision, decision-support systems, knowledge bases, and neural networks."
    },
    "prefLabel" : [ {
      "@language" : "en",
      "@value" : "Artificial Intelligence"
    }, {
      "@language" : "el",
      "@value" : "Τεχνητή νοημοσύνη"
    } ],
    "relatedMatch" : [ "http://id.loc.gov/authorities/subjects/sh85031234", "http://id.loc.gov/authorities/subjects/sh85079324" ]
  }, {
    "@id" : "http://semantics.gr/authorities/openarchives-item-types/Journal-part",
    "@type" : "skos:Concept",
    "broader" : "http://semantics.gr/authorities/openarchives-item-types/Issue-segment",
    "prefLabel" : [ {
      "@language" : "en",
      "@value" : "Publication in journal"
    }, {
      "@language" : "el",
      "@value" : "Δημοσίευση σε περιοδικό"
    } ]
  }, {
    "@id" : "http://semantics.gr/authorities/openarchives-item-types/Scientific-article",
    "@type" : "skos:Concept",
    "broader" : "http://semantics.gr/authorities/openarchives-item-types/arthro",
    "prefLabel" : [ {
      "@language" : "en",
      "@value" : "Scientific article"
    }, {
      "@language" : "el",
      "@value" : "Επιστημονικό άρθρο"
    } ]
  }, {
    "@id" : "https://www.openarchives.gr/aggregator-openarchives/edm/aggregation/provider/000011-123456789_21343%231",
    "@type" : "ore:Aggregation",
    "aggregatedCHO" : "https://www.openarchives.gr/aggregator-openarchives/edm/ntua/000011-123456789_21343",
    "dataProvider" : "Εθνικό Μετσόβιο Πολυτεχνείο",
    "isShownAt" : "https://dspace.lib.ntua.gr/xmlui/handle/123456789/21343",
    "provider" : "Greek Aggregator OpenArchives.gr | National Documentation Centre (EKT)",
    "rights" : "other"
  }, {
    "@id" : "https://www.openarchives.gr/aggregator-openarchives/edm/ntua/000011-123456789_21343",
    "@type" : "edm:ProvidedCHO",
    "creator" : [ {
      "@language" : "en",
      "@value" : "Veres, G"
    }, {
      "@language" : "en",
      "@value" : "Grabner, H"
    }, {
      "@language" : "en",
      "@value" : "Varvarigou, T"
    }, {
      "@language" : "en",
      "@value" : "Kosmopoulos, D"
    }, {
      "@language" : "en",
      "@value" : "Voulodimos, A"
    }, {
      "@language" : "en",
      "@value" : "Van Gool, L"
    } ],
    "description" : {
      "@language" : "en",
      "@value" : "Modelling and classification of time series stemming from visual workflows is a very challenging problem due to the inherent complexity of the activity patterns involved and the difficulty in tracking moving targets. In this paper, we propose a framework for classification of visual tasks in industrial environments. We propose a novel method to automatically segment the input stream and to classify the resulting segments using prior knowledge and hidden Markov models (HMMs), combined through a genetic algorithm. We compare this method to an echo state network (ESN) approach, which is appropriate for general-purpose time-series classification. In addition, we explore the applicability of several fusion schemes for multicamera configuration in order to mitigate the problem of limited visibility and occlusions. The performance of the suggested approaches is evaluated on real-world visual behaviour scenarios. (C) 2011 Elsevier Ltd. All rights reserved."
    },
    "identifier" : [ "10.1016/j.neunet.2011.06.001", "8", "852", "http://hdl.handle.net/123456789/21343", "ISI:000295105700009", "860", "24", "0893-6080" ],
    "language" : "eng",
    "publisher" : {
      "@language" : "en",
      "@value" : "PERGAMON-ELSEVIER SCIENCE LTD"
    },
    "source" : {
      "@language" : "en",
      "@value" : "Neural Networks"
    },
    "subject" : [ {
      "@language" : "en",
      "@value" : "Computer Simulation"
    }, {
      "@language" : "en",
      "@value" : "Genetic algorithms"
    }, {
      "@language" : "en",
      "@value" : "automation"
    }, {
      "@language" : "en",
      "@value" : "priority journal"
    }, {
      "@language" : "en",
      "@value" : "Activity patterns"
    }, {
      "@language" : "en",
      "@value" : "echo state network"
    }, {
      "@language" : "en",
      "@value" : "Time series"
    }, {
      "@language" : "en",
      "@value" : "genetic algorithm"
    }, {
      "@language" : "en",
      "@value" : "workflow"
    }, {
      "@language" : "en",
      "@value" : "Prior knowledge"
    }, {
      "@language" : "en",
      "@value" : "camera"
    }, {
      "@language" : "en",
      "@value" : "Calibration"
    }, {
      "@language" : "en",
      "@value" : "Tracking moving targets"
    }, {
      "@language" : "en",
      "@value" : "Time series classifications"
    }, {
      "@language" : "en",
      "@value" : "Visual tasks"
    }, {
      "@language" : "en",
      "@value" : "Hidden Markov models"
    }, {
      "@language" : "en",
      "@value" : "Vision"
    }, {
      "@language" : "en",
      "@value" : "ESN"
    }, {
      "@language" : "en",
      "@value" : "classification"
    }, {
      "@language" : "en",
      "@value" : "Fusion"
    }, {
      "@language" : "en",
      "@value" : "Algorithms"
    }, {
      "@language" : "en",
      "@value" : "Activity recognition"
    }, {
      "@language" : "en",
      "@value" : "Workflow"
    }, {
      "@language" : "en",
      "@value" : "Novel methods"
    }, {
      "@language" : "en",
      "@value" : "Neural Networks (Computer)"
    }, {
      "@language" : "en",
      "@value" : "Work-flows"
    }, {
      "@language" : "en",
      "@value" : "Vision, Ocular"
    }, {
      "@language" : "en",
      "@value" : "time series analysis"
    }, {
      "@language" : "en",
      "@value" : "Image Processing, Computer-Assisted"
    }, {
      "@language" : "en",
      "@value" : "Inherent complexity"
    }, {
      "@language" : "en",
      "@value" : "Limited visibility"
    }, {
      "@language" : "en",
      "@value" : "visibility"
    }, {
      "@language" : "en",
      "@value" : "intermethod comparison"
    }, {
      "@language" : "en",
      "@value" : "industrial area"
    }, {
      "@language" : "en",
      "@value" : "HMM"
    }, {
      "@language" : "en",
      "@value" : "online monitoring"
    }, {
      "@id" : "http://semantics.gr/authorities/EKT-voc-classifier/605963148"
    }, {
      "@language" : "en",
      "@value" : "Databases, Factual"
    }, {
      "@language" : "en",
      "@value" : "Industrial environments"
    }, {
      "@language" : "en",
      "@value" : "Artificial Intelligence"
    }, {
      "@language" : "en",
      "@value" : "Genetic algorithm"
    }, {
      "@language" : "en",
      "@value" : "On-line classification"
    }, {
      "@language" : "en",
      "@value" : "Multi-cameras"
    }, {
      "@language" : "en",
      "@value" : "Pattern Recognition, Automated"
    }, {
      "@language" : "en",
      "@value" : "Industry"
    }, {
      "@language" : "en",
      "@value" : "Echo state networks"
    }, {
      "@language" : "en",
      "@value" : "Workflow monitoring"
    }, {
      "@language" : "en",
      "@value" : "Input streams"
    }, {
      "@language" : "en",
      "@value" : "Video Recording"
    }, {
      "@language" : "en",
      "@value" : "hidden Markov model"
    }, {
      "@language" : "en",
      "@value" : "article"
    }, {
      "@language" : "en",
      "@value" : "artificial neural network"
    } ],
    "title" : {
      "@language" : "en",
      "@value" : "Online classification of visual tasks for industrial workflow monitoring"
    },
    "type" : [ "http://semantics.gr/authorities/openarchives-item-types/Journal-part", "http://semantics.gr/authorities/openarchives-item-types/Scientific-article" ],
    "dc:type" : {
      "@language" : "en",
      "@value" : "journalArticle"
    },
    "created" : "2011"
  } ],
  "@context" : {
    "broader" : {
      "@id" : "http://www.w3.org/2004/02/skos/core#broader",
      "@type" : "@id"
    },
    "prefLabel" : {
      "@id" : "http://www.w3.org/2004/02/skos/core#prefLabel"
    },
    "relatedMatch" : {
      "@id" : "http://www.w3.org/2004/02/skos/core#relatedMatch",
      "@type" : "@id"
    },
    "exactMatch" : {
      "@id" : "http://www.w3.org/2004/02/skos/core#exactMatch",
      "@type" : "@id"
    },
    "note" : {
      "@id" : "http://www.w3.org/2004/02/skos/core#note"
    },
    "closeMatch" : {
      "@id" : "http://www.w3.org/2004/02/skos/core#closeMatch",
      "@type" : "@id"
    },
    "identifier" : {
      "@id" : "http://purl.org/dc/elements/1.1/identifier"
    },
    "subject" : {
      "@id" : "http://purl.org/dc/elements/1.1/subject"
    },
    "creator" : {
      "@id" : "http://purl.org/dc/elements/1.1/creator"
    },
    "publisher" : {
      "@id" : "http://purl.org/dc/elements/1.1/publisher"
    },
    "type" : {
      "@id" : "http://purl.org/dc/elements/1.1/type",
      "@type" : "@id"
    },
    "source" : {
      "@id" : "http://purl.org/dc/elements/1.1/source"
    },
    "description" : {
      "@id" : "http://purl.org/dc/elements/1.1/description"
    },
    "language" : {
      "@id" : "http://purl.org/dc/elements/1.1/language"
    },
    "title" : {
      "@id" : "http://purl.org/dc/elements/1.1/title"
    },
    "created" : {
      "@id" : "http://purl.org/dc/terms/created"
    },
    "rights" : {
      "@id" : "http://www.europeana.eu/schemas/edm/rights"
    },
    "provider" : {
      "@id" : "http://www.europeana.eu/schemas/edm/provider"
    },
    "isShownAt" : {
      "@id" : "http://www.europeana.eu/schemas/edm/isShownAt",
      "@type" : "@id"
    },
    "dataProvider" : {
      "@id" : "http://www.europeana.eu/schemas/edm/dataProvider"
    },
    "aggregatedCHO" : {
      "@id" : "http://www.europeana.eu/schemas/edm/aggregatedCHO",
      "@type" : "@id"
    },
    "ore" : "http://www.openarchives.org/ore/terms/",
    "owl" : "http://www.w3.org/2002/07/owl#",
    "svcs" : "http://rdfs.org/sioc/services#",
    "skos" : "http://www.w3.org/2004/02/skos/core#",
    "rdfs" : "http://www.w3.org/2000/01/rdf-schema#",
    "rdaGr2" : "http://rdvocab.info/ElementsGr2/",
    "edm" : "http://www.europeana.eu/schemas/edm/",
    "ekt" : "https://www.semantics.gr/authorities/schemanamespaces/ekt#",
    "doap" : "http://usefulinc.com/ns/doap#",
    "rdf" : "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
    "xalan" : "http://xml.apache.org/xalan",
    "dcterms" : "http://purl.org/dc/terms/",
    "wgs84_pos" : "http://www.w3.org/2003/01/geo/wgs84_pos#",
    "foaf" : "http://xmlns.com/foaf/0.1/",
    "crm" : "http://www.cidoc-crm.org/rdfs/cidoc_crm_v5.0.2_english_label.rdfs#",
    "dc" : "http://purl.org/dc/elements/1.1/"
  }
}
